VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.

151-0105-00L 4 Credits BSC , MSC D-HEST , D-MAVT , D-PHYS , D-ITET , D-MATH
You're viewing possible stale or outdated data. Please check the latest semester for more up-to-date information.

Quantitative Flow Visualization

Bildverarbeitung in der Strömungsmesstechnik

Lecturers & Examiners: Prof. em. Dr. Thomas Rösgen
VVZ CR n/a

Last Updated: 2026-02-05 15:24:34

Abstract

The course provides an introduction to digital image analysis in modern flow diagnostics. Different techniques which are discussed include image velocimetry, laser induced fluorescence, liquid crystal thermography and interferometry. The physical foundations and measurement configurations are explained. Image analysis algorithms are presented in detail and programmed during the exercises.

Objective

Introduction to modern imaging techniques and post processing algorithms with special emphasis on flow analysis and visualization. Understanding of hardware and software requirements and solutions. Development of basic programming skills for (generic) imaging applications.

Content

Fundamentals of optics, flow visualization and electronic image acquisition. Frequently used mage processing techniques (filtering, correlation processing, FFTs, color space transforms). Image Velocimetry (tracking, pattern matching, Doppler imaging). Surface pressure and temperature measurements (fluorescent paints, liquid crystal imaging, infrared thermography). Laser induced fluorescence. (Digital) Schlieren techniques, phase contrast imaging, interferometry, phase unwrapping. Wall shear and heat transfer measurements. Pattern recognition and feature extraction, proper orthogonal decomposition.

General Information

Language
English
Levels
BSC , MSC
Frequency
Yearly recurring

Examination

Type
session examination
Mode
oral 30 minutes
Deutsch nach Bedarf.

Course Components

Type Title Time & Place Hours
lecture Bildverarbeitung in der Strömungsmesstechnik
  • Tue 10:15-12:00 (ML F 34)
2 h weekly
exercise Bildverarbeitung in der Strömungsmesstechnik
  • Tue 13:15-14:00 (ML H 34.1)
  • Tue 13:15-14:00 (ML H 41.2)
1 h weekly

Offered In